| 我国高校科研项目数据高质量管理的挑战与应对分析以哈尔滨工业大学为例 |
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| 引用本文： | 刘星,韩婷婷,王胜金,郭翔,王欣,付强.我国高校科研项目数据高质量管理的挑战与应对分析以哈尔滨工业大学为例[J].研究与发展管理,2021,33(5):161-167. |
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| 作者姓名： | 刘星 韩婷婷 王胜金 郭翔 王欣 付强 |
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| 作者单位： | 哈尔滨工业大学,黑龙江省工业技术研究院 技术开发与转移部,哈尔滨工业大学 科学与工业技术研究院,哈尔滨工业大学 科学与工业技术研究院,哈尔滨工业大学,哈尔滨工业大学 科学与工业技术研究院 |
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| 摘 要： | 数据作为关键的生产要素，极大地影响着高校科研管理和现代化水平，但是当前高校科研项目数据质量无法满足要素资源价值充分挖掘和释放的需求。因此本文结合国内科研项目数据管理理论及借鉴国外先进经验，以哈尔滨工业大学科研项目数据管理为例，从提高科研项目数据质量出发，对数据产生、存储、加工和应用的生命周期进行综合分析，将治理理念及政策要求整合迭代为科研项目全过程管理的流程再造，为持续促进一流大学以高质量科研项目数据为关键要素的科研管理能力的全面提升提供建设思考。
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| 关 键 词： | 数据要素 流程再造 科研管理 |
| 收稿时间： | 2020/8/27 0:00:00 |
| 修稿时间： | 2021/7/8 0:00:00 |
Challenges and Countermeasures of High Quality Management of Scientific Research Project Data in China's UniversitiesA Case Study of Harbin Institute of Technology |
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| LIU Xing,HAN Ting-ting,WANG Sheng-jin,GUO Xiang,WANG Xin,FU Qiang.Challenges and Countermeasures of High Quality Management of Scientific Research Project Data in China's UniversitiesA Case Study of Harbin Institute of Technology[J].R&d Management,2021,33(5):161-167. |
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| Authors: | LIU Xing HAN Ting-ting WANG Sheng-jin GUO Xiang WANG Xin FU Qiang |
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| Institution: | Technology Development and Transfer Department, Heilongjiang Institute of Industrial Technology,Academy of Science and Industry Technology,Harbin Institute of Technology,Academy of Science and Industry Technology,Harbin Institute of Technology,Harbin Institute of Technology,Academy of Science and Industry Technology,Harbin Institute of Technology |
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| Abstract: | Data as a key factor of production, greatly affects the scientific research management and modernization level of colleges. However, the current quality of scientific research in colleges and universities can not fully explore and release the value of resources. Therefore, this paper takes the research data management experience of Harbin University of technology as an example, starting from improving the quality of scientific research data, this paper comprehensively analyzes and processes the life cycle of data generation, storage, processing and application, and integrates and iterates the governance concepts and policy requirements into the process reengineering of the whole-process management of scientific research projects, so as to continuously promote the overall improvement of the scientific research management ability of first-class universities with high-quality scientific research data as the key element. |
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| Keywords: | Data elements Process reengineering Scientific research management |
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